Top AI Agent Observability & Evals software — ranked, with pricing and deployment at a glance.
Showing 30 products
Amazon Web Services
Observability of your AWS resources and applications on AWS and on-premises.
Better Stack
Better Stack is an eBPF-based, AI SRE observability tool that helps you ship high-quality software faster.
Bindplane
Bindplane is an OpenTelemetry-native, vendor-agnostic telemetry pipeline that strengthens observability by unifying how logs, metrics, and traces are collect…
Dagster Labs
Dagster is an open source, cloud-native data orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative progr…
Datadog
LLM observability for tracing, monitoring and evaluating production AI applications.
Grafana Labs
Grafana Labs provides an open and composable observability stack built around Grafana, the leading open source technology for dashboards and visualization.
groundcover
Monitor everything you run in your cloud without compromising on cost, granularity, or scale.
IBM
IBM Instana is an automated observability platform for modern stacks, built specifically for the DevOps space.
KloudMate
With millions of developers building applications on AWS Cloud's Serverless infrastructure, a robust observability strategy has become the need of the hour.
Langfuse
Open-source LLM engineering platform for traces, evaluations, prompt management and metrics.
LangChain
Platform for tracing, evaluating and monitoring LLM applications and agents.
LogicMonitor
LogicMonitor’s SaaS-based observability and IT operations data collaboration platform helps ITOps, developers, MSPs and business leaders gain visibility into…
Logz.io
Logz.io is the leading cloud observability platform that enables engineers to use the best open source tools in the market without the complexity of operatin…
Lumigo
Lumigo is revolutionizing cloud-native observability, setting a new benchmark for monitoring and troubleshooting.
Metaplane
Metaplane is a data observability platform that helps data teams know when things break, what went wrong, and how to fix it.
Middleware
Middleware is an AI-driven, full-stack cloud observability platform that detects, diagnoses, and automatically fixes issues across your entire system—Kuberne…
Ellipsys is a editor of a SaaS data governance software, {openAudit}, implemented in fifteen large companies.
Orq.ai
Orq.ai is a Generative AI Collaboration platform where engineers, product managers, and non-technical teams build and ship reliable AI products.
ScienceLogic
ScienceLogic provides extensive systems management and monitoring functionality for physical and virtual server performance monitoring, diagnostics, and tool…
Splunk
Get actionable insights with Splunk's powerful dashboards and end-to-end visibility from edge to cloud—powered by Splunk AI.
Sumo Logic
Sumo Logic's next-generation log management and machine data analytics service changes this equation, delivering actionable insights into application and inf…
TeamViewer
For enterprise IT organizations responsible for supporting distributed workforces and complex endpoint estates who need to reduce digital friction, improve e…
Trackingplan
Trackingplan is an automated analytics QA, and monitoring platform that ensures your entire tracking setup—including events, marketing pixels, cookies, UTMs,…
| Name | Open source | Tracing | Evals | Prompt management | Self-host | Pricing |
|---|---|---|---|---|---|---|
| AgentOps | Yes | Open source; tracing; replay; evaluations | Not provided | Not provided | Cloud | Not provided |
| Amazon CloudWatch | Not provided | Not provided | Not provided | Not provided | Cloud | Not provided |
| Arize AX | Not provided | Not provided | Not provided | Not provided | Review collected by and hosted on G2.com. | Not provided |
| Arize Phoenix | Yes | Open source; tracing; evaluations; experiments | Not provided | Not provided | Cloud, Self-hosted | Not provided |
| Better Stack | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Bindplane | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Braintrust | Not provided | Evaluations; tracing; prompt management | Not provided | Evaluations; tracing; prompt management | Cloud | Not provided |
| Comet Opik | Yes | Open source; tracing; evaluations; prompt management | Not provided | Open source; tracing; evaluations; prompt management | Cloud, Self-hosted | Not provided |
| Dagster | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Datadog LLM Observability | Not provided | Tracing; evaluations; production monitoring | Not provided | Not provided | Cloud | Not provided |
| Galileo | Not provided | Evaluations; monitoring; tracing | Not provided | Not provided | Cloud | Not provided |
| Grafana | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| groundcover | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Helicone | Yes | Open source; tracing; cost tracking; prompt management | Not provided | Open source; tracing; cost tracking; prompt management | Cloud, Self-hosted | Not provided |
| IBM Instana | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| KloudMate | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Langfuse | Yes | Open source; tracing; evaluations; prompt management; self-hosting | Not provided | Open source; tracing; evaluations; prompt management; self-hosting | Cloud, Self-hosted | Not provided |
| LangSmith | Not provided | Tracing; evaluations; datasets; prompt testing | Not provided | Tracing; evaluations; datasets; prompt testing | Cloud | Not provided |
| LogicMonitor | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Logz.io | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Lumigo | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Metaplane | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Middleware | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| openAudit | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Orq | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| ScienceLogic | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Splunk Enterprise | Not provided | Not provided | Not provided | Not provided | Cloud, On-premise | Not provided |
| Sumo Logic | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| TeamViewer DEX | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
| Trackingplan | Not provided | Not provided | Not provided | Not provided | Cloud, On-Premise | Not provided |
Observability shows what an AI system did in production: prompts, model calls, tool use, latency, cost, errors and the path an agent took. Evaluations judge whether that behavior was useful, safe and correct against examples, rules or human review. Production teams normally need both. Traces help diagnose an individual failure, while evaluations reveal whether a change improves performance across a representative test set. Prompt management adds version history so results can be tied to the exact instructions used. Start by instrumenting the workflows with the highest business or compliance risk, then build a small evaluation set from real cases. Track cost and latency beside quality, because a more accurate agent may still be impractical if it is too slow or expensive. For sensitive data, confirm retention, redaction, access controls, residency and self-hosting before sending traces to a vendor.
LLM observability records and analyzes prompts, responses, model calls, tool actions, latency, errors and cost. It helps teams understand why an application behaved a certain way and detect changes in production. Agent observability extends this to multi-step workflows, handoffs and actions taken across external systems.
The data in this category identifies Langfuse, AgentOps, Helicone, Comet Opik and Arize Phoenix as open-source options. Licensing, hosted features and self-hosting requirements can change, so verify the current repository licence and which enterprise capabilities remain proprietary before choosing a deployment model.
Not necessarily. Many platforms combine tracing and evaluation, but the jobs remain distinct. Observability explains production behavior; evals measure quality against expected outcomes. A combined tool can simplify operations, while separate specialist products may offer deeper testing or monitoring. Ensure results share stable trace and version identifiers.
Pricing may be based on traces, events, spans, data volume, seats or retention. Open-source software can reduce licence cost but still requires hosting and maintenance. Estimate production traffic, trace depth and retention, then include evaluation runs and support. Use contact pricing where a vendor does not publish a reliable entry price.
